AI Adoption in CPA Firms: Why Zero Trust Must Come First

AI adoption is accelerating across accounting, but governance isn't keeping pace.

From tax and audit to wealth management and CAS, firms are experimenting with AI while policies, training, security controls, and oversight remain uneven. That gap between AI use and governance is where risk begins.

This guide explains why Zero Trust should be the foundation for secure AI adoption and how CPA firms can build a more controlled, sustainable approach to AI.

Inside, you'll discover:

• Why the gap between AI adoption and governance is becoming a critical risk for CPA firms
• The five core controls of a Zero Trust framework: identity, devices, segmentation, data protection, and monitoring
• How to identify and protect sensitive information including SSNs, EINs, tax returns, payroll records, workpapers, financial statements, and engagement documents
• How to build a practical DLP strategy around classification, coverage, response actions, security monitoring, and continuous improvement

Never Trust. Always Verify.

Zero Trust isn't a product. It's an operating model that applies verification to every user, device, application, workload, and data request.

For CPA firms, that means asking the same question every time:

Should this user on this device have access to this data for this task right now?

Download the guide to explore how a Zero Trust approach can help your firm adopt AI while keeping client and taxpayer data protected.

Download the Guide